# nerq

> Use this tool when you need to search and compare AI agents, ensure compliance with global regulations, and assess safety recommendations across multiple jurisdictions. It solves problems related to AI agent discovery, compliance checking, and trust scoring, providing outputs such as comparable agent data and safety recommendations. It takes in search queries and jurisdiction selections as inputs, making it ideal for use cases involving AI agent evaluation and regulatory adherence.

Canonical page: https://skillsregistry.net/skills/nerq-ai-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/nerq-ai-mcp-server

## Description

Search 4.9M+ AI agents and check compliance across 52 global jurisdictions including EU AI Act. Compare agents, get safety recommendations, and discover MCP servers with trust scores.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jedv9p4fm0)
- **Repository:** <https://github.com/nerq-ai/mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "nerq-ai-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nerq-ai-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nerq-ai-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt